88 research outputs found

    A FUNDAMENTAL STUDY ON THE THERMOMECHANICAL BEHAVIOR OF ELASTIC SPHERES CHARGED WITH A TWO-PHASE FLUID

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    Thesis (Ph.D.)--Michigan State University. Mechanical Engineering - Doctor of Philosophy, 2025Several studies have examined the elasticity of expanding spheres containing either pure gas or pure liquid. Several other studies have examined encapsulated, phase change materials for energy storage with the focus on solid-solid and solid-liquid phase change. However, it appears that a study characterizing an expanding and contracting elastic sphere charged with a two-phase fluid has yet to be addressed in the open literature. This dissertation aims to fill this gap in the literature by developing an analytical model, along with a numerical investigation and experimental validation, that characterize a slightly more sophisticated system. The system comprises an elastic sphere partially filled with a liquid along with a mixture of its vapor and air. This model predicts the sphere\u2019s volume variation following variations in the conditions of its environment by merging a non-linear elasticity model of the shell with the 1st law of thermodynamics, ideal gas law, law of mass conservation and the theory of psychrometrics.Although the model is based on the quasistatic thermodynamic assumptions and zero permeability of the sphere rubber shells, experimental observations demonstrate that the model adequately describes the sphere-fluid system under both transient and static operating conditions. Two experimental methods were pursued to produce these operating conditions; The first method visually records the sphere expansion and contraction during the evacuation of air out of a vacuum chamber within which the sphere is suspended. In the second equilibrium method, the sphere is submerged in water, and the pressure of the environment (i.e., a vacuum chamber) is reduced to a low enough value to allow for some evaporation of the encapsulated liquid. The spheres were fabricated using a lab-made rubber press, and an elaborate procedure that yields bubble-free spherical shells and perfectly sealed ethanol-charged spheres. A parametric study was conducted with a basis of six parameters to characterize the spheres; the parameters include the initial diameter of the spherical shell, the final temperature of the fluid, the initial liquid fill level, the fluid used, the elastic shell stiffening factor, and elastomer shear modulus. Prior to conducting an experiment, the shells need to be inflated and deflated ten times to obtain a repeatable elastic response to internal pressure. A laser aligned setup was used to capture the sphere pressure-stretch behavior. It also used a camera fitted with a prime lens to minimize the distortion in the sphere photographs. The same camera was used in the transient experiments. The error between the analytical model and the transient experiments ranged from 17% to 35%. The larger error is due to the sagginess of the larger spheres. The uncertainty in the model output did not exceed 7% when computed using a Monte Carlo simulation. The error between the analytical model and equilibrium experiments ranged from zero to 14.8%. The uncertainty in the equilibrium experimental procedure, however, was not entirely quantifiable due to imperfections in the testing apparatus, which is largely a consequence of using a webcam to measure the sphere diameter, in addition to submerging the spheres in water. The webcam and the water buoyancy effects distorted the sphere dimensions. The reason why water was used was to maintain a constant surrounding temperature. Two other promising methods for maintaining a constant surrounding temperature, without water involvement, were attempted only as proof of concept. The first is black body radiant heating and the second is induction heating. The former only worked in a small plexiglass vacuum chamber lined with aluminum foil. The latter reached the proof-of-concept stage in the custom-built large vacuum chamber. The numerical part of this work was considered sufficient for describing the equilibrium behavior of the spheres, as it strictly adheres to the quasistatic assumption. The transient experiments demonstrated that ignoring the permeability of the elastomer was reasonable provided that the experiment duration remains below 30 minutes.Description based on online resource. Title from PDF t.p. (Michigan State University Fedora Repository, viewed ).Includes bibliographical references

    Composing music for anime: a case study of “Your Name” by Comix Wave Film / Amirul Aiman Mohd Hamdan

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    This paper study on the musical piece composition titled “Sparkle” from the animation movie “Kimi No Nawa” which has brought a phenomenal feedback from the world on its context and composition secrets – as many recognition has been established for this movie as well as the piece itself. Hence the author has successfully unrevealed the key factor that makes this piece an international hits in both artistic point of view as well as the technical point of view. In the end, this piece has successfully portray a mix-emotional vibes to all its listeners’ nonexclusive to the animation-enthusiast, but also towards those industrial analyst – such as musical institutions and musical practitioners

    Women leaders in trade unions of Pakistan : stories of struggle and leadership

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    Friedrich-Ebert-Stiftung, Pakistan Office ; author: Saba Gul Khattak ; illustrators Abdullah Shahid, Aiman Saleem, Areeban Shaukat Qureshi [und weitere

    Seasoned equity offerings: determining the characteristics of Malaysian firms in consumers product industries / Amirul Aiman A Rashid

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    Seasoned equity offerings (SEOs) are sales of stock after the initial public offering. It was to raise funds from the sale of stock rather issuing additional debt. I, the author, adopt a method that been had used to predict the characteristic of firms that likely to undertake the form of financing through SEO. The technique was based on logistic regression where by the firm specific variables are acquired from the perspective of the firm's returned earning, cash-flow investment, net income, capital expenditure and long-term debt. A software package called SPSS (Statistical Package for the Social Sciences) is being used in finding and analyzing the data. In order to observe the relationship between the Dependent variable, likelihood of firm choosing SEO, and the independent variables, returned earning, cash-flow investment, net income, capital expenditure and long-term debt, wald test produced by SPSS are used for analysis during this research

    Ace-Spire Your MUET: English Club's MUET preparation webinar / Muhammad Aiman Abdul Halim and Nazima Versay Kudus

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    On 10th June 2023, the English Language Club of UiTM Cawangan Pulau Pinang (UiTMCPP) hosted an intensive Malaysian University English Test (MUET) webinar under the name "Ace-Spire Your MUET." This programme aimed to guide and motivate students gearing up for their imminent MUET examinations, providing them with essential tips and strategies to ace MUET questions while nurturing their analytical skills. Despite postponement of nearly two months from its original date, this 3-hour webinar witnessed the enthusiastic participation of 17 UiTM students and 26 Form Six students from other esteemed institutions. Guided by two Akademi Pengajian Bahasa (APB) lecturers as programme advisors, this initiative was driven solely by passion and collaboration, devoid of any university budget. In a collaboration with Penerbit Ehsan, the English Language Club had successfully provided participants with textbooks, webinar platform, and the expertise of an acclaimed MUET examiner, Mr. Choo Wan Yat. As the author of ACE MUET, along with a repertoire of other esteemed workbooks and textbooks, Mr. Choo is a highly sought-after speaker in the MUET community. His expertise shone as he delved into MUET's Writing and Reading components, endowing participants with invaluable insights aligned with the latest syllabus based on the Common European Framework of Reference for Languages (CEFR)

    Identifying and validating recurrent structural variants affecting tumor genomes using GROM and VN

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    Do recurring structural variants in genomes of multiple myeloma patients affect tumorigenesis? We hypothesize that these structural variants play a part in tumorigenesis as they overlap certain genes that have functions related to cancer symptoms.Presented at the annual Celebration of Undergraduate Research and Creative Activity while the author was an undergraduate student at Rutgers University-Camden

    Effects of global change drivers on the susceptibility of wild plants to pathogenic diseases

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    Ongoing human activities are causing major global environmental changes (e.g., warming, nutrient enrichment, and shifts in precipitation levels), which are negatively affecting the structure and functioning of Earth’s ecosystems. These environmental changes have been shown to intensify or weaken plant-pathogen interactions and the extent of diseases they cause. To date, however, a comprehensive quantitative synthesis of the effects of major global environmental changes on plant-pathogen interactions is still lacking. Here, we are evaluating the effects of nutrient enrichment, warming, drought, and major global environmental changes on the susceptibility and severity of diseases caused by plant pathogens. To date, we have compiled data of 183 cases of study from 18 papers and performed a meta-analysis of the effects of nutrient enrichment, warming, and drought, on wild-plant diseases caused by a variety of pathogens including bacteria, fungi, and viruses. Insights from this meta-analysis may help better predict how anthropogenic changes may be driving the prevalence of these plant-pathogen interactions. Understanding how global change drivers affect plant-pathogen interactions is crucial to better predict the outcome of infectious plant diseases and to improve our ability to mitigate their effects.Presented at the annual Celebration of Undergraduate Research and Creative Activity while the author was an undergraduate student at Rutgers University-Camden

    Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues

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    The rise of chronic disease patients and the pandemic pose immediate threats to healthcare expenditure and mortality rates. This calls for transforming healthcare systems away from one-on-one patient treatment into intelligent health systems, leveraging the recent advances of Internet of Things and smart sensors. Meanwhile, reinforcement learning (RL) has witnessed an intrinsic breakthrough in solving a variety of complex problems for distinct applications and services. Thus, this article presents a comprehensive survey of the recent models and techniques of RL that have been developed/used for supporting Intelligent-healthcare (I-health) systems. It can guide the readers to deeply understand the state-of-the-art regarding the use of RL in the context of I-health. Specifically, we first present an overview of the I-health systems' challenges, architecture, and how RL can benefit these systems. We then review the background and mathematical modeling of different RL, deep RL (DRL), and multiagent RL models. We highlight important guidelines on how to select the appropriate RL model for a given problem, and provide quantitative comparisons, showing the results of deploying key RL models in two scenarios that can be followed in monitoring applications. After that, we conduct an in-depth literature review on RL's applications in I-health systems, covering edge intelligence, smart core network, and dynamic treatment regimes. Finally, we highlight emerging challenges and future research directions to enhance RL's success in I-health systems, which opens the door for exploring some interesting and unsolved problems.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Networked System

    Identifying and validating recurrent structural variants affecting tumor genomes using GROM and VN

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    Structural variants (SVs), large genomic alterations, are often responsible for tumor development. Most studies focus on single-nucleotide mutations and leave SVs aside due to the difficulties in their analysis. Here, we have utilized the result of a recent effort to sequence a cohort of patients with multiple myeloma. We used two main computational tools to locate and visualize SVs after comparing two different genomes (normal and tumor). The first one was the Genome Rearrangement OmniMapper (GROM), a variant caller with superior speed, sensitivity, and precision used to identify the variants. The second tool was the Variant Navigator (VN) to visually examine the reads and compare SVs in tumor samples with corresponding normal samples; this tool is more convenient than other popular ones as it collects multiple SVs from a single sample in a data table and allows us to efficiently go through the data. Visualization of the variants enables us to validate the type and location of mutation, and genes overlapping or near the variant. We found many common SVs present in tumor (but not normal) samples affecting a range of genes that are related to various functions, for example, increased tumor incidence, tumor growth, innate immunity and inflammation, etc. Finding these genes helps us identify the proteins involved in tumorigenesis and this analysis may further allow us to find potential drug targets.Winner: Second Place, 2023 Paul Robeson Library Undergraduate Research Award
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